Tozlu A.Abuşoğlu, AyşegülÖzahi E.20.04.20192019-04-2020.04.20192019-04-2020180360-5442https://dx.doi.org/10.1016/j.energy.2017.10.120https://hdl.handle.net/20.500.12403/409This paper presents thermodynamic and thermoeconomic analyses as well as optimization of a re-compression supercritical CO2 cycle. A gas turbine cycle (GT) is adapted as a model to an existing plant to generate additional power in Gaziantep Municipal Solid Waste Power Plant (GMSWPP). The total capital cost rate and total cost rate of the GT cycle are found to be 20.47 $/h and 77.14 $/h, respectively utilizing SPECO by using the exhaust gas of 16 kg/s with 1.9 bar and 566.7 °c. The net power, the energy and exergy efficiencies, the total cost and the total capital cost rates of the GT cycle are optimized by +1.73%, +3.21%, +2.45%, ?1.11% and ?1.64%, respectively using NSGA-II in MATLAB in the range of 2.5?PR?4, 200?P6?216, 16?T0?23 and 9.1?LMTD?12.9. This paper provides an originality such that optimization as well as thermodynamic and thermoeconomic analyses is performed simultaneously for an existing MSW power plant, which can be stressed that there are scarce amounts of studies related on this field. Moreover, as another novelty, it can be emphasized that net power output of such like plants which have similar capacity can be improved using the developed model and NSGA-II optimization method. © 2017 Elsevier Ltdeninfo:eu-repo/semantics/closedAccessGenetic algorithmOptimizationSolid wasteThermoeconomyWaste-to-energyCarbon dioxideCostsGallium compoundsGas turbinesGenetic algorithmsOptimizationRhenium compoundsSolid wastesWaste heatEnergy and exergy efficiencyGas turbine cyclesNet power outputsOptimization methodSupercritical CO2Thermo-economyThermoeconomic analysisWaste to energyMunicipal solid wastecarbon dioxidecosteconomic analysisenergyexergygenetic algorithmmunicipal solid wasteoptimizationpower generationpower plantthermodynamicsturbinewaste technologyGaziantepTurkeyGenetic algorithmOptimizationSolid wasteThermoeconomyWaste-to-energyCarbon dioxideCostsGallium compoundsGas turbinesGenetic algorithmsOptimizationRhenium compoundsSolid wastesWaste heatEnergy and exergy efficiencyGas turbine cyclesNet power outputsOptimization methodSupercritical CO2Thermo-economyThermoeconomic analysisWaste to energyMunicipal solid wastecarbon dioxidecosteconomic analysisenergyexergygenetic algorithmmunicipal solid wasteoptimizationpower generationpower plantthermodynamicsturbinewaste technologyGaziantepTurkeyArticle14316818010.1016/j.energy.2017.10.1202-s2.0-85032934046Q1WOS:000425565700014Q1